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000582756 041__ $$aEnglish
000582756 1001_ $$0P:(DE-H253)PIP1080379$$aJafarinia, Farzad$$b0$$eCorresponding author$$udesy
000582756 1112_ $$a14th International Particle Accelerator Conference$$cVenice$$d2023-05-07 - 2023-05-12$$gIPAC2023$$wItaly
000582756 245__ $$aSimulation Study on a Virtual Diagnostics Concept for X-Ray Pulse Characterisation
000582756 260__ $$a[Geneva]$$bJACoW Publishing$$c2023
000582756 29510 $$a[Ebook] IPAC'23 : 14th International Particle Accelerator Conference, 7-12 May 2023, Venice, Italy : proceedings / hosting institutions: INFN, Elettra Sincotrone Trieste , [Geneva] : JACoW Publishing, [2023],
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000582756 520__ $$aIn this study we investigate simulation results for a virtual diagnostics concept that is planned for the SASE1 beam-line at the European XFEL. These virtual diagnostics will be used to predict photon beam properties like pointing and divergence. We first use the GENESIS simulation framework to compute different lasing conditions in the undulator beamline, and then use Artificial Neural Networks (ANN) to predict the pulse properties. The final model will be able to estimate X-ray pulse characteristics based on properties like electron beam trajectories inside the undulator sections along with other diagnostics data. This study will provide insight towards the development of online virtual diagnostics in the real machine.
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000582756 7001_ $$0P:(DE-H253)PIP1095777$$aGrech, Christian$$b1
000582756 7001_ $$0P:(DE-H253)PIP1080263$$aGuetg, Marc$$b2
000582756 7001_ $$0P:(DE-H253)PIP1000427$$aGeloni, Gianluca$$b3
000582756 773__ $$a10.18429/JACoW-IPAC2023-TUPL021
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